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PESOHA: Privacy-Preserving Evaluation System for Online Healthcare Applications

  • Conference paper
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Fourth International Congress on Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1027))

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Abstract

Online healthcare and wellness applications are one of the alternatives to expensive face-to-face medical services. By using online healthcare applications, patients are able to access clinical interventions at a lower cost and at their convenience. However, the lack of rigorous evaluation system becomes a barrier to further growth. To address the shortcoming, in this paper, we propose the privacy-preserving evaluation system for online healthcare applications, in short PESOHA. The proposed system helps non-IT healthcare professionals easily to create their clinical studies on their online applications and assess the performance of online health applications by using privacy-preserving online monitoring. In this paper, we present the structural architecture of PESOHA and demonstrate its operations for healthcare researchers and patients. The systematic evaluation method of PESOHA will expand the role of online healthcare and wellness applications.

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Authors and Affiliations

  1. Computer and Information Sciences, Virginia Military Institute, 313E Mallory Hall, Lexington, VA, 24450, USA

    Youna Jung

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  1. Youna Jung
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Correspondence to Youna Jung .

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Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  2. University of Reading, Reading, UK

    Simon Sherratt

  3. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

    Amit Joshi

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Jung, Y. (2020). PESOHA: Privacy-Preserving Evaluation System for Online Healthcare Applications. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1027. Springer, Singapore. https://doi.org/10.1007/978-981-32-9343-4_1

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  • DOI: https://doi.org/10.1007/978-981-32-9343-4_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9342-7

  • Online ISBN: 978-981-32-9343-4

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